§ Security · 9 min read
AI agents are a new category of authorized internal actor. Most security frameworks were not built for this. NemoClaw is the first infrastructure-level attempt to address it.
Katonic AI
Security Insights
For security teams
Integrations
CrowdStrike · Cisco AI Defense
§ 01
AI agents represent something security teams have not faced before: an authorized internal actor with broad system access, autonomous decision-making, and no inherent understanding of data sensitivity. Unlike a human employee, this identity operates at machine speed and follows instructions literally.
Most security frameworks were not built for this. NemoClaw is the first infrastructure-level attempt to address it.
§ 02
NemoClaw adds policy enforcement through OpenShell. It creates a sandboxed environment where every network request, file access, and model call is governed by declarative policy. It occupies a new category: agent runtime security.
Default-deny. Every new outbound connection blocked and surfaced for approval. Autonomous agents are unpredictable - an agent researching a topic might reach dozens of websites without asking.
CrowdStrike's Secure-by-Design AI Blueprint embeds Falcon directly into OpenShell: AIDR policy enforcement, endpoint protection on DGX hardware, cloud runtime protection, and identity-based governance. Early testing: 5x faster investigations, 3x higher triage accuracy. Cisco AI Defense is also adding controls.
§ 03
Data Loss Prevention
No PII scanning. Needs separate guardrails.
Multi-tenant governance
Single-sandbox only. No cross-tenant management.
Prompt injection defense
No detection. Needs trained models.
Compliance audit trails
TUI only. No structured, exportable logs.
Cost controls
No budgets, attribution, or alerts.
RBAC
No role-based access for agent lifecycle.
§ 04
Infrastructure isolation, agent runtime (NemoClaw), governance (multi-tenant policies, HITL, PII scanning), guardrails (content safety, prompt injection, grounding), and observability (cost attribution, audit, anomaly detection). NemoClaw fills layer two.
◈ The Five-Layer Agent Security Architecture
Layer 5 - Observability
cost attribution, audit, anomaly detection
Layer 4 - Guardrails
content safety, prompt injection, grounding
Layer 3 - Governance
multi-tenant policies, HITL, PII scanning
Layer 2 - Agent runtime - NemoClaw
sandboxing, network egress, inference routing
Layer 1 - Infrastructure isolation
containers, VMs, hardware
§ 05
Map current agent deployments and their access
Evaluate NemoClaw in a non-production environment
Define your agent security policy before you need it
Assess the governance gap above NemoClaw
Watch CrowdStrike and Cisco integrations closely
§ 06
Katonic 7.0 is an enterprise AI platform built for organizations that need autonomous AI agents with full governance, security, and data sovereignty. The platform deploys entirely on your infrastructure with zero data egress. It includes 8 guardrail types powered by NVIDIA NeMo NIM models, infrastructure-layer tool governance with human-in-the-loop approvals and PII scanning, permission-aware knowledge retrieval across 50+ enterprise connectors, and complete cost attribution from day one.
To learn how Katonic approaches enterprise agent security, visit katonic.ai
Katonic AI
Security Insights
The Operating System for Sovereign AI. Katonic enables enterprises to deploy AI agents, copilots, and models that run 100% on their own infrastructure with full governance, security, and data sovereignty.
Learn how Katonic approaches enterprise agent security →§ Related articles
Katonic 7.0 delivers governance, guardrails, and observability for autonomous AI agents. Zero data egress.
